Introduction
The sudden 30% increase in customer support tickets related to SHL's Verify Interactive platform this month is a critical issue that demands immediate attention and a thorough root cause analysis. To address this problem, I'll employ a systematic approach to identify, validate, and resolve the underlying factors contributing to this spike in support requests.
This analysis follows a structured approach covering issue identification, hypothesis generation, validation, and solution development.
Step 1
Clarifying Questions (3 minutes)
Why it matters: Recent changes often correlate with support ticket increases. Expected answer: Yes, a new feature was released two weeks ago. Impact on approach: If confirmed, we'd focus on the new feature's implementation and user experience.
Why it matters: Identifying affected segments helps narrow down potential causes. Expected answer: Enterprise users are reporting more issues than other segments. Impact on approach: We'd investigate enterprise-specific features or use cases.
Why it matters: Understanding the types of issues helps prioritize our investigation. Expected answer: Login problems, data synchronization issues, and report generation errors. Impact on approach: We'd focus on these specific areas in our technical and user experience analysis.
Why it matters: Ensures we're comparing apples to apples in our metrics. Expected answer: No changes in measurement or categorization. Impact on approach: Confirms the increase is real and not a result of changed metrics.
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